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The purpose of the study is to analyze the impact of the Publication Timeline, i.e. Submission to First Decision and Submission to Acceptance on Journal Metrics, i.e. Impact Factor (IF) and 5-year IF.

Data related to the IF and 5-year IF were retrieved from Clarivate Analytics’ Journal Citation Report 2020. The Publication Timeline of each journal was ascertained through their respective websites. To attain the model fit summary, an analysis of variance (ANOVA) test was performed. Regression analysis was also performed on the models using SPSS 21 software to ascertain the nature and degree of impact the Publication Timeline (Submission to First Decision and Submission to Acceptance) has on Journal Metrics (IF and 5-year IF).

Submission to First Decision has a significant inverse relationship with both the IF and 5-year IF, whereas Submission to Acceptance has a significant direct relation with 5-year IF and an inverse but insignificant relationship with IF.

Journals published by Springer Nature and of multidisciplinary nature have been considered for the study. Only those journals were selected that provided the information regarding the Publication Timeline, whereas those which did not provide the same, were excluded. However, new insights can be revealed if the journals published by different publishers and belonging to one particular discipline are studied.

The study helps to ascertain the impact of the Publication Timeline on the Impact Metrics of the journals. It can help the authors select the journals as their publishing venues considering the Publication Timeline. Publishers can also be benefitted from the findings of this study since improvisations and modifications in their Publication Timelines can positively influence the impact metrics of their respective journals.

The study attempts to measure the impact of the Publication Timeline on Journal Metrics using cross-sectional secondary data, by performing regression analysis. Though various studies have examined the influence of the Publication Timeline on the IF using correlation analysis, to the best of the authors’ knowledge, this study is the first of its kind to use regression analysis to check the relation, as well as the degree of impact the Publication Timeline, has on Journal Metrics.

Theory of Constraints (TOC), though a well-established process improvement methodology in manufacturing, is still a novel philosophy for healthcare and an exhaustive review of literature is needed to summarize the key findings of various researchers. Such a review can provide a direction to the researchers and academicians interested in exploring the application of TOC in the healthcare sector. This paper aims to review the existing literature of TOC tools and techniques applied to the healthcare environment, and to investigate motivating factors, benefits and key gaps for identifying directions for future research in the domain of healthcare.

In this paper, different electronic repositories were searched using multiple keywords. The current study identified 36 articles published between January 1999 to mid-2021 to conceptualize and summarize the research questions used in the study. Descriptive analysis along with pictorial representations have been used for better visualization of work.

This paper presents a thorough literature review of TOC in healthcare and identifies the evolution, current trends, tools used, nature of services chosen for application and research gaps and recommends future direction for research. A variety of motivating factors and benefits of TOC in healthcare are identified. Another key finding of this study is that almost all implementations listed in literature reported positive outcomes and substantial improvements in the performance of the healthcare unit chosen for study.

This paper provides valuable insight to researchers, practitioners and policymakers on the potential of TOC to improve quality of services, flow of patients, revenues, process efficiency and cost reduction in different health care settings. A number of findings and suggestions compiled in the paper from literature study can be used for diagnosing, learning and making substantial changes in healthcare. The methodologies used by different researchers were analysed and combined to propose a generic step by step procedure to apply TOC. This methodology will guide the practising managers about the appropriate tools of TOC for their specific need.

Good health is always the first desire of all men and women around the globe. The global aim of healthcare is to quickly cure more patients and ensure healthier population both today and in future. This article will work as a foundation for future applications of TOC in healthcare and guide upcoming applications in the booming healthcare sector. The paper will help the healthcare managers in serving a greater number of patients with limited available resources.

This paper provides original collaborative work compiled by the authors. Since no comprehensive systematic review of TOC in healthcare has been reported earlier, this study would be a valuable asset for researchers in this field. A model has been presented that links various benefits with one another and clarifies the need to focus on process improvement which naturally results in these benefits. Similarly, a model has been presented to guide the users in implementation of TOC in healthcare.

The purpose of this paper is to demonstrate the close relationship between the disciplines of law and health-care studies. This interrelation has become particularly evident during the spread of the COVID-19 pandemic, when restrictive human rights provisions have been initiated by many states for the sake of public health. Research focuses on the notional proximity of the principle of proportionality and its health-care correlative: effectiveness. It also goes through the influence of acceptance rates for the application of restrictive measures.

Research focuses on interdisciplinary literature review, taking into consideration judicial decisions and data on acceptance rates of restrictive human rights measures in particular. Analysis goes in depth when two categories of restrictive human rights measures against the spread of the pandemic are examined in depth: restrictive measures to achieve social distancing and mandatory vaccination of professional groups.

Restrictive human rights measures for reasons of public health are strongly affected by the need for effective health-care systems. This argument is verified by judicial decision-making which relies to the necessity of health-care effectiveness to a great extent. The COVID-19 pandemic offers a laminate example of the two disciplines’ interrelation and how they infiltrate each other.

Further implications for research point at the need to institutionalize a cooperative scheme between legal and health-care decision-making, given that this interrelation is strong.

The originality of this paper lies on the interdisciplinary approach between law and health-care studies. It explains how state policies during the pandemic were shaped based on the concepts of effectiveness and proportionality.

The purpose of this research is to examine, from the self-efficacy standpoint, the factors that influence medical tourists' use of social media for travel planning. To that end, this study presents a conceptual framework for evaluating medical tourists' online behaviour and empirically tests the model's validity by examining various dimensions of self-efficacy.

A sample of 224 people who searched for medical tourism information online was used in this study. Partial least squares structural equation modelling (PLS-SEM) was employed to test the proposed model with data from an online questionnaire survey.

The findings suggest that sources of self-efficacy reinforce one's belief in the ability to use social media for medical travel planning purposes. According to the structural model analysis results, with the exception of social persuasion (SP), all of the proposed factors were significant sources of self-efficacy.

The findings can assist medical tourism providers in optimising online searches for medical travel information, as well as medical tourism destination marketers in directing the tourism providers' marketing efforts towards the use of social media to target potential medical tourists more efficiently and on a larger scale.

This study is being conducted in response to a significant knowledge gap in identifying the factors that influence medical tourists' online behaviour. This information can help medical tourism destination marketers gain a competitive advantage by using social media to target potential medical tourists more effectively and on a larger scale.

The paper aims to empirically test a framework to predict the desire and intention to engage with an elective health-care procedure and implement a methodology to test the anticipated positive and negative emotions in hedonic adaptation to an elective procedure.

Two studies in USA and Australia (N = 1,200) confirmed the psychometric properties of the key constructs under the chemical peel condition. Two further studies in the USA and Australia (N = 1,100) explored the research question and hypotheses in the adapted model of goal-directed behaviour under the Botox condition. A survey was self-administered to online panels who had previously engaged in such elective procedures.

The findings highlighted the pragmatic implications for communication and activation strategies to safeguard consumer interests and retain their loyalty.

From the authors’ best understanding, neither a methodology nor a theoretical framework exists to explore hedonic adaptation to recurring engagement with elective health care. A methodology and theoretical framework will highlight the mood states and factors that predict desire and intention to engage. This can advance the research on hedonic adaptation and decision-making and offer pragmatic suggestions for communication and activation strategies to safeguard consumer interests and retain their loyalty.

Intense interest has been shown in creating new and effective biocide agents as a result of changes in bacterial isolates, bacterial susceptibility to antibiotics, an increase in patients with burns and wounds and the difficulty of treating infections and antimicrobial resistance. Woven, nonwoven and knitted materials are used to make dressings; however, nonwoven dressings are becoming more popular because of their softness and high absorption capacity. Additionally, textiles have excellent geometrical, physical and mechanical features including three-dimensional structure availability, air, vapor and liquid permeability, strength, extensibility, flexibility and diversity of fiber length, fineness and cross-sectional shapes. It is necessary to treat every burn according to international protocol and along with it has to focus on particular problems of patients and the best possible results.

The objective of this paper is to conduct a thorough examination of research pertaining to the utilization of textiles, as well as alternative materials and innovative techniques, in the context of burn wound dressings. Through a critical analysis of the findings, this study intends to provide valuable insights that can inform and guide future research endeavors in this field.

In the past years, there have been several dressings such as xeroform petrolatum gauze, silver-impregnated dressings, biological dressings, hydrocolloid dressings, polyurethane film dressings, silicon-coated nylon dressings, dressings for biosynthetic skin substitutes, hydrogel dressings, newly developed dressings, scaffold bandages, Sorbalgon wound dressing, negative pressure therapy, enzymatic debridement and high-pressure water irrigation developed for the fast healing of burn wounds.

This research conducts a thorough analysis of the role of textiles in modern burn wound dressings.

The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines.

The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability.

This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM.

This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research.

ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.

In recent years, instant messaging platforms like WhatsApp have gained substantial popularity in both academic and practical domains. However, despite this growth, there is a lack of a comprehensive overview of the literature in this field. The primary purpose of this study is to bridge this gap by analyzing a substantial dataset of 12,947 articles retrieved from the Dimensions.ai, database spanning from 2011 to March 2023.

To achieve the authors' objective, the authors employ bibliometric analysis techniques. The authors delve into various bibliometric networks, including citation networks, co-citation networks, collaboration networks, keywords and bibliographic couplings. These methods allow for the uncovering of the social and conceptual structures within the academic discourse surrounding WhatsApp.

The authors' analysis reveals several significant findings. Firstly, the authors observe a remarkable and continuous growth in the number of academic studies dedicated to WhatsApp over time. Notably, two prevalent themes emerge: the impact of coronavirus disease 2019 (COVID-19) and the role of WhatsApp in the realm of social media. Furthermore, the authors' study highlights diverse applications of WhatsApp, including its utilization in education and learning, as a communication tool, in medical education, cyberpsychology, security, psychology and behavioral learning.

This paper contributes to the field by offering a comprehensive overview of the scholarly research landscape related to WhatsApp. The findings not only illuminate the burgeoning interest in WhatsApp among researchers but also provide insights into the diverse domains where WhatsApp is making an impact. The analysis of bibliometric networks offers a unique perspective on the social and conceptual structures within this field, shedding light on emerging trends and influential research. This study thus serves as a valuable resource for scholars, practitioners and policymakers seeking to navigate the evolving landscape of WhatsApp research. The study will also be useful for researchers interested in conducting bibliometric analysis using Dimensions.ai, a free database.

Gender and geographical imbalance in production and impact levels is a pressing issue in global knowledge production. Within Health Sciences, while some studies found stark gender and geographical biases and inequalities, others found little empirical evidence of this marginalization. The purpose of the study is to clear the ambiguity concerning the topic.

Based on a comprehensive and systematic analysis of Health Sciences research data downloaded from the Scival (Scopus/Scimago) database from 2017 to 2020 (n = 7,990), this study first compares gender representation in research productivity, as well as differences in terms of citation per document, citations per document view and view per document scores according to geographical location. Additionally, the study clarifies whether there is a geographic bias in productivity and impact measures (i.e. citation per document, citations per document view and view per document) moderated by gender.

Results indicate that gender inequalities in productivity are systematic at the overall disciplinary, as well as the subfield levels. Findings also suggest statistically significant geographical differences in citation per document, citations per document view, and view per document scores, and interaction effect of gender over the relation between geography and (1) the number of citations per view and (2) the number of views per document.

This study contributes to scientometric studies in health sciences by providing insightful findings about the geographical and gender bias in productivity and impact across world regions.

By distorting the peer review process, predatory journals lure researchers and collect article processing charges (APCs) to earn income, thereby threatening clinical decisions. This study aims to identifying the characteristics of predatory publishing in the dermatology literature.

The authors used Kscien's list to detect dermatology-related predatory journals. Bibliometric parameters were analyzed at the level of journals, publishers, documents and authors.

Sixty-one potential predatory dermatology publishers published 4,164 articles in 57 journals from 2000 to 2020, with most publishers claiming to be located in the United States. Most journals were 1–5 years old. Six journals were indexed in PubMed, two in Scopus and 43 in Google Scholar (GS). The average APC was 1,049 USD. Skin, patient, cutaneous, psoriasis, dermatitis and acne were the most frequently used keywords in the article's title. A total of 1,146 articles in GS received 4,725 citations. More than half of the journals had <10 citations. Also, 318 articles in Web of Science were contaminated by the most cited articles and 4.49% of the articles had reported their funding source. The average number of authors per article was 3.7. India, the United States and Japan had the most articles from 119 involved countries. Asia, Europe and North America had the most contributed authors; 5.2% of articles were written through international collaboration. A majority of authors were from high- and low-middle-income countries. Women contributed 43.57% and 39.66% as the first and corresponding authors, respectively.

The study had limitations, including heavy reliance on Kscien's list, potential for human error in manual data extraction and nonseparation of types of articles. Journals that only published dermatology articles were reviewed, so those occasionally publishing dermatology articles were missed. Predatory journals covering multiple subjects (Petrisor, 2016) may have resulted in overlooking some dermatology papers. This study did not claim to have covered all articles in predatory dermatology journals (PDJs) but evaluated many of them. The authors accept the claim that Kscien's list may have made a mistake in including journals.

The wide dispersion of authors involved in PDJs highlights the need to increase awareness among these authors.